Experiments
Searchable full-text extractions: founding hypothesis, core claims, experimental setups, key results and statistics — pulled out of each paper as structure. Search a cell line, an assay or an entity (e.g. HUH7) and find every paper that worked with it. This corpus stands on its own: most entries carry no reproduction assessment (yet).
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Classification of ALS molecular subtypes: a literature review on machine learning applications and their clinical value.
PMID 41731547 · PMC13037183 · BMC medicine · 2026 · 8 claims · 5 setups
Unsupervised ML analysis of ALS transcriptomes consistently identifies molecular subtypes reflecting distinct biological processes, primarily oxidative stress (ALS-Ox) and glial activation/neuroinflammation (ALS-Glia), found in every study reviewed.
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Has reproduction · 78
GenTB: A user-friendly genome-based predictor for tuberculosis resistance powered by machine learning.
PMID 34461978 · PMC8407037 · Genome medicine · 2021 · 8 claims · 6 setups
GenTB is a free, open, web-based application offering two ML predictors (Random Forest and WDNN) that predict resistance to 13 and 10 anti-TB drugs, respectively.
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Has reproduction · 62
A comparative gene co-expression analysis using self-organizing maps on two congener filmy ferns identifies specific desiccation tolerance mechanisms associated to their microhabitat preference.
PMID 32019526 · PMC7001327 · BMC plant biology · 2020 · 8 claims · 6 setups
Inter-specific differences in vertical distribution/microhabitat preference are associated with distinct dynamics of gene expression during dehydration and rehydration phases
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Single-cell atlas of the developing Down syndrome brain cortex.
PMID 41545595 · PMC13004680 · Nature medicine · 2026 · 8 claims · 8 setups
RORB/FOXP1-expressing L4-like excitatory neurons are subtype-specifically and dramatically reduced in Down syndrome fetal cortex, especially at later stages (PCW16-20)
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Have microarrays failed to deliver for developmental biology?
PMID 12225576 · PMC139405 · Genome biology · 2002 · 8 claims · 8 setups
Despite predictions that microarrays would transform biology, very few published developmental biology microarray studies have generated novel insights.